Lead Software Engineer, Data Cloud

About the role

Salesforce is seeking a Lead Member of Technical Staff to architect and build the next generation of control plane services for the Experience Salesforce Data 360. This role involves designing and delivering highly scalable, high-quality software, collaborating with geographically distributed engineers and product owners, and working on diverse compute workloads including GPU clusters, batch processing, real-time analytics, and AI/ML systems.

Responsibilities

• Design and build our next gen Control Plane services
• Drive architectural decisions on resource isolation, multi-tenancy, and distributed system design
• Evolve compute infrastructure to support diverse workload patterns: batch processing, streaming, interactive queries, and AI/ML workloads at true petabyte scale
• Design intelligent job scheduling and orchestration systems to maximize resource utilization
• Build platform primitives for capacity management, priority-based allocation, and workload isolation
• Implement custom Kubernetes operators and controllers for specialized workload requirements
• Develop infrastructure strategies to sustain AI/ML workloads, focusing on GPU management and model deployment
• Architect sophisticated resource management protocols optimized for varied and complex compute ecosystems
• Partner with infrastructure engineering teams to establish integration frameworks for advancing AI technologies
• Lead code reviews, define coding standards, and translate functional requirements into technical requirements — ensuring all developed features meet design and code quality standards while fulfilling customer requirements
• Collaborate with product teams and business partners on product and feature design, coordinating the evaluation, scope, and completion of new development requests
• Absess the impact of new requirements across all upstream and downstream applications, systems, and processes, and work with geographically distributed engineers to ensure successful product delivery

Requirements

• 10+ years of software engineering experience with deep expertise in distributed systems
• Expert-level Kubernetes experience: operators, controllers, scheduling, resource management
• Production experience running large-scale infrastructure serving mission-critical workloads
• Strong programming skills in Go, Java, Python, or Rust
• Deep understanding of containers, orchestration, networking, storage, and compute isolation
• Experience designing and building control planes for distributed infrastructure
• Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
• Proven technical leadership: driving architecture, mentoring engineers, influencing technical direction

Preferred Qualifications

• Experience with GPU infrastructure and ML/AI workload orchestration
• Background in building serverless or function-as-a-service platforms
• Expertise in observability tools: Prometheus, Grafana, OpenTelemetry, distributed tracing
• Experience with big data processing frameworks (Spark, Flink, Presto, etc.)
• Knowledge of vector databases and embedding infrastructure
• Contributions to open-source infrastructure projects
• Experience in multi-tenant SaaS environments with strong isolation requirements
• Familiarity with major cloud providers: AWS, GCP, Azure

Benefits

At Salesforce, we offer a comprehensive benefits package to support your well-being and career growth. This includes:

• Time off programs
• Medical, dental, vision, mental health support
• Paid parental leave
• Life and disability insurance
• 401(k)
• Employee stock purchasing program

For more details, visit Salesforce Benefits.

Pay

The typical base salary range for this position is $172,500 - $260,100 annually.

Schedule

This role is full-time.